The 2015 Lawrence Livermore National Laboratory Signal and Image Sciences Workshop will take place May 13 at the Livermore Valley Open Campus' High Performance Computing Innovation Center.
The 19th annual free workshop is a signature event of the Engineering Directorate's Center for Advanced Signal and Image Sciences (CASIS). Co-sponsored by the East Bay chapter of the Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Society, the workshop is designed to showcase R&D in signal and image sciences at Lawrence Livermore and Sandia national laboratories.
It's targeted to engineers and scientists at LLNL and Sandia with an interest in the signal and image sciences; students and faculty at Bay Area universities such as UC Berkeley, UC Davis and Stanford; and Bay Area information technology companies. Workshop topics include signal and image processing, pattern analysis, machine learning, controls and communication, radiation detection, real-time embedded systems, as well as application areas such as geophysics, astronomy and bioscience.
"We are bringing our researchers together with brilliant minds in this field to foster innovation," said Randy Roberts, the CASIS co-director who helped organize the workshop. "CASIS is a forum that challenges engineers and scientists to collectively exchange and develop new ideas in the signal and image sciences.”
The keynote speaker will be Georgios Giannakis, a University of Minnesota professor who is the endowed chair professor in wireless telecommunication. He also serves as the director of the university’s Digital Technology Center. Giannakis’ general interests span the areas of communication, networking and statistical signal processing – subjects on which he has published more than 370 journal papers, 630 conference papers, 20 book chapters, two edited books and two research monographs. Current research focuses on sparsity and big data analytics, wireless cognitive radios, mobile ad hoc networks, renewable energy, power grid, gene-regulatory and social networks.
The topic of his talk is “Learning Tools for Big Data Analytics.” It will outline ongoing research in novel models applicable to a wide range of big data analytics problems, as well as algorithms to handle the practical challenges, while revealing fundamental limits and insights on the mathematical trade-offs involved.
Sign up on the CASIS registration site for the free all-day workshop, which starts at 9 a.m. Register now because space is limited.
You also can submit your CASIS abstract or poster presentation at the registration site. The deadline is April 24.